Table 2.

Factors included in B, C, D, E intervals (measured in log-transformed days) multiple linear regression models.

	Beta Value *	Percentile Beta Value **	t Value	p Value
B 1 interval model (adjusted R2 = 0.052, p = 0.027)
(Intercept)	1.567	-	5.650	<0.001
CIRS value, range 3–12	−0.098	−9.3%	−2.367	0.019
HADS value, range 0-24	0.031	3.2%	1.501	0.136
C 2 interval model (adjusted R2 = 0.332, p < 0.001)
(Intercept)	1.609	-	3.352	0.001
Number of specialists before correct diagnosis, range 2–10	0.252	28.7%	4.185	<0.001
Oncologic diagnosis suspected after 1st visit: 1—Yes, 2—No	0.651	91.7%	3.139	0.002
Place of residence: 1—smaller cities, 2—Vilnius/Kaunas	0.343	40.9%	1.931	0.057
HADS value, range 0–24	0.032	3.3%	1.740	0.085
D 3 interval model (adjusted R2 = 0.143, p < 0.001)
(Intercept)	2.626	-	9.901	<0.001
Diagnosis: 1—lymphoma, 2—MM	−0.605	−45.4%	−3.669	<0.001
Education: 1—no higher education, 2—higher education	−0.315	−27.0%	−1.932	0.056
Marital status: 1—married, 2—not married	0.265	30.3%	1.562	0.121
E 4 interval model (adjusted R2 = 0.215, p < 0.001)
(Intercept)	3.002	-	7.344	<0.001
Place of residence: 1—smaller cities, 2—Vilnius/Kaunas	0.445	56.1%	2.727	0.008
HADS scale value, range 0–24	0.054	5.6%	3.124	0.002
Number of specialists before correct diagnosis, range 2–10	0.121	12.9%	2.331	0.022
Self-medication: 1—No, 2—Yes	0.436	54.7%	2.377	0.019

¹—time between registration for first medical consultation and first medical consultation. ²—time between first medical consultation and diagnosis. ³—time between diagnosis and treatment. ⁴—overall time between symptom onset and diagnosis (sum of A, B, C intervals). * Beta values from log-transformed data. ** Percentile effect of independent variable each one-unit increase on untransformed independent variable.